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Acta mathematica Scientia 2015年第2期35卷 326-338页

作者： Eid H.DOHA waleed m.abd-elhameed mahmoud A.BASSUONY Department of mathematics Faculty of ScienceCairo University Department of mathematics Faculty of ScienceUniversity of Jeddah Department of mathematics Faculty of ScienceFayoum University

Two new analytical formulae expressing explicitly the derivatives of Chebyshev polynomials of the third and fourth kinds of any degree and of any order in terms of Chebyshev polynomials of the third and fourth kinds themselves are proved. Two other explicit formulae which express the third and fourth kinds Chebyshev expansion coefficients of a general-order derivative of an infinitely differentiable function in terms of their original expansion coefficients are also given. Two new reduction formulae for summing some terminating hypergeometric functions of unit argument are deduced. As an application of how to use Chebyshev polynomials of the third and fourth kinds for solving high-order boundary value problems, two spectral Galerkin numerical solutions of a special linear twelfth-order boundary value problem are given.

关键词： Chebyshev polynomials of the third and fourth kinds expansion coefficients generalized hypergeometric functions boundary value problems

Effects of moringa oleifera aqueous extract on the growth performance,blood characteristics,and histological features of gills and livers in Nile tilapia

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Aquaculture and Fisheries 2024年第1期9卷 85-92页

作者： mahamoud A.Emam Ramy m.Shourbela waleed N.El-Hawarry Seham Y.Abo-Kora Fatma abdel-monem Gad Ashraf m.abd El-latif mahmoud A.O.Dawood Histology Department Faculty of Veterinary MedicineBenha UniversityBenha13511Egypt Department of Animal Husbandry and Animal Wealth Development Faculty of Veterinary MedicineAlexandria UniversityAlexandria22758Egypt Pharmacology Department Faculty of Veterinary MedicineBenha UniversityBenha13511Egypt Clinical Pathology Department Faculty of Veterinary MedicineBenha UniversityBenha13511Egypt Department of Aquatic Animal Diseases and management Faculty of Veterinary MedicineBenha UniversityBenha13511Egypt Animal Production Department Faculty of AgricultureKafrelsheikh UniversityKafr El-Sheikh33511Egypt The Center for Applied Research on the Environment and Sustainability The American University in CairoCairo11835Egypt

moringa oleifera is well known as a highly nutritious plant and a water purifier in fish *** fish has many impressive qualities making them very suitable for ***,this study aimed to evaluate the effect of supplementation of moringa oleifera aqueous extract(mOAE)at varying concentrations(0,100,200,and 400 mg/kg diet for 90 days)on growth performance,hematological,and some biochemical parameters of Nile ***,histological changes and immunohistochemical expression of caspase 3 in gills and livers were *** enhancements(Pmoglobin,packed cell volume,white blood cells,and total serum protein were observed in fish fed 200 mg mOAE/kg diet compared with other ***,a significant reduction(Pmg mOAE/kg diet revealed disturbance in the corresponding *** histological degenerative changes were detected in the gills and liver of fish fed 400 mg mOAE/kg *** comparison,fish fed 200 mg mOAE/kg diet showed the best histo-architectures of these organs compared with other *** immune expressions of caspase 3 were determined where gills and liver of fish fed 400 mg mOAE/kg diet revealed extensive number of positive caspase 3 cells indicating severe apoptotic ***,a dietary mOAE at 200 mg/kg diet is recommended to improve the growth performance,hematological parameters,liver and kidney functions in Nile ***,caution must be considered when using mOAE at a concentration over 200 mg/kg diet.

关键词： Growth performance Liver Gills moringa oleifera Nile tilapia

Global output of research on epidermal parasitic skin diseases from 1967 to 2017

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Infectious Diseases of Poverty 2018年第1期7卷 730-739页

作者： waleed m.Sweileh Department of Physiology Pharmacology/ToxicologyDivision of Biomedical SciencesCollege of Medicine and Health SciencesAn-Najah National UniversityNablusPalestine

Background:Epidermal parasitic skin diseases(EPSD)occur in most countries and cause a considerable health and economic burden,particularly in the tropics and *** aim of this study was to assess and analyse peerreviewed literature on EPSD in *** results of this study serve as an indicator of the extent the scientific community,health authorities,and international health agencies interact with EPSD as a health problem that is commonly associated with poverty and poor ***:A bibliometric analysis methodology was *** Scopus database was used to retrieve documents about EPSD for the study period(1967-2017).The study focused on scabies,tungiasis,pediculosis,hookwormrelated cutaneous larva migrans(HrCLm),myiasis,and cutaneous *** that specifically and explicitly discuss EPSD in animals,aquatic organisms,and birds were ***:In total,4186 documents were retrieved.A fluctuated growth of publications on EPSD in the past five decades was *** retrieved documents received 43301 citations,an average of 10.3 citations per article and an h-index of *** keywords“scabies”and was the most commonly encountered keyword followed by the keywords“head lice”and“pediculosis”.The most active journal involved in publishing articles on EPSD was the International Journal of Dermatology(164;3.9%).Researchers from 93 different countries published the retrieved *** USA led with 735(17.6%)documents,followed by the UK(274;6.5%),and Germany(259;6.2%).In terms of institutions,the Charite-Universitätsmedizin Berlin in Germany was the most active in this field with 78(1.9%)publications,followed by the Universidade Federal do Cearáin Brazil with 52(1.2%)***:Research on scabies and pediculosis dominated the field of EPSD research to the expense of tungiasis,HrCLm,myiasis,and cutaneous *** was an underrepresentation of literature from the tropics and subtropics despite EPSD being com

关键词： Epidermal parasitic skin diseases Bibliometric analysis Keyword mapping Scopus

Statistical Analysis of a Class of Secure Relay Assisted Cognitive Radio Networks

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China Communications 2018年第12期15卷 174-189页

作者： mona Shokair waleed Saad Shady m.Ibraheem Electronic and Electrical Comm.Dep. Faculty of Electronic EngineeringMeno.a UniversityEgypt Telecom Egypt Egypt Electrical Engineering Department College of EngineeringShaqra UniversityDawadmiAr RiyadhKingdom of Saudi Arabia

In this paper, the problem of communication security in an underlay wiretap cognitive radio network is addressed and statistically investigated. We rely on a simple dual-hop communication model of decode and forward relay assisted network. Regarding the interference from primary users, interference power and maximum transmit power constraints; this network is subjected to multiple eavesdropping attacks which employ a specific interception strategy. To confound this eavesdropping, proposed selection schemes are exploited that aim at maximizing the minimum of the dual secrecy rates in order to strengthen the physical layer security. moreover, exact and asymptotic closed form expressions are derived for specific performance metrics over independent and identically distributed Rayleigh fading channels. At high signal to interference noise ratio(SINR), tangential system bounds are also derived and discussed. monte Carlo simulation results emphasize our assumption. It is found out that at the full diversity of the system, any additional node that enters the cooperative eavesdropping system becomes significantly of no effect.

关键词： relay selection non-colluding or colluding eavesdroppers outage probability secrecy rate power constraints.

Preparation and characterization of (CeO2)x-(Fe2O3)1-x nanocomposites:reduction kinetics and hydrogen storage

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Rare metals 2020年第3期39卷 218-229页

作者： Shimaa G.Sayed waleed m.A.El Rouby Ahmed A.Farghali materials Science and Nanotechnology Department Faculty of Postgraduate Studies for Advanced Science(PSAS)Beni-Suef UniversityBeni Suef62511Egypt

A series of nanosized CeO2-Fe2O3 mixed-oxide nanocomposites with different Ce4+/Fe3+molar ratios were successfully prepared by a co-precipitation *** surface area increased with Fe2O3 content increasing up to 60 wt%in the ***,with further increase in Fe2O3 content,the surface area began to *** reduction processes of the CeO2-Fe2O3 nanocomposites were studied in a hydrogen atmosphere at 300-600℃.The reduction rates increased by increasing both the temperature and Fe2O3 content in the *** microstructure of the reduced composites at 500℃illustrated the presence of a considerable number of macro-and *** activation energy values were calculated which were in the range of 3.56-5.37 kJ mol-1 at the initial stages(up to 35%reduction)and 5.21-10.2 kJ·mol-1 at the final stages(up to 80%reduction)of *** rate-controlling mechanisms in both the initial and final reduction stages were determined,and the initial reaction stage was controlled by combined gaseous diffusion and interfacial chemical reaction mechanisms for all the composites except for pure CeO2,which was controlled by a chemical reaction *** final reaction stage was controlled by a gaseous diffusion mechanism for some composites,while for the others it was controlled by combined gaseous diffusion and interfacial chemical reaction *** hydrogen sorption properties of the nanocomposites were studied by pressure composition isotherms using a volumetric *** storage in the nanocomposites increased by increasing the temperature because of the formation of oxygen vacancies which enhance atomic H adsorption and function as strong adsorption sites forming more metal hydride covalent bonds.

关键词： CeO2-Fe2O3 nanocomposite Reduction kinetics Reduction mechanism Hydrogen storage Oxygen vacancies

A bibliometric analysis of global research output on health and human rights(1900–2017)

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Global Health Research and Policy 2018年第1期3卷 67-76页

作者： waleed m.Sweileh Department of Physiology Pharmacology/ToxicologyDivision of Biomedical SciencesCollege of Medicine and Health SciencesAn-Najah National UniversityNablusPalestine

Background:Baseline data on global research activity on health and human rights(HHR)needs to be assessed and analyzed to identify research gaps and to prioritize funding and research ***,the aim of this study was to assess the growth of publications and research pattern on ***:A bibliometric methodology was *** on HHR was retrieved using SciVerse Scopus for the study period from 1900 to *** different search scenarios with different keyword combinations were used to retrieve the required *** types of documents published in peer-reviewed journals,including editorials,were *** search strategy was ***:In total 6513 documents were retrieved with an h-index of 88 and an average of 9.8 citations per *** on HHR field started as early as 1950 but showed a steep rise in the past two *** of author keywords revealed that HIV/AIDS,mental health,maternal and reproductive health,violence,ethics,torture,and refugees were most commonly encountered *** journal“Health and Human Rights”was most active(n=467;7.2%)in this ***,documents that appeared in The Lancet received the highest impact(29.5 citations per document).The United States of America produced the most in this field(n=1817;27.9%).Researchers in the region of Americas participated in approximately 45%of the retrieved documents while researchers in the Eastern mediterranean region had the least contribution(2.5%).Researchers in high-income countries contributed to approximately 78%of the retrieved documents while researchers in low-income countries contributed to less than 5%of the retrieved *** data were standardized by population size,the research output from high-income countries was approximately four documents per one million *** middle-income countries,the research output was 0.3 document per one million *** low-income countries,the research output was 0.5 docu

关键词： Health Human rights Bibliometric analysis

Improving Prediction Efficiency of machine Learning models for Cardiovascular Disease in IoST-Based Systems through Hyperparameter Optimization

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Computers, materials & Continua 2024年第9期80卷 3485-3506页

作者： Tajim md.Niamat Ullah Akhund waleed m.Al-Nuwaiser Department of Computer Science and Engineering(CSE) Daffodil International UniversityDhaka1216Bangladesh Graduate School of Science and Engineering Saga UniversitySaga8408502Japan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11623Saudi Arabia

This study explores the impact of hyperparameter optimization on machine learning models for predicting cardiovascular disease using data from an IoST(Internet of Sensing Things)*** distinct machine learning approaches were implemented and systematically evaluated before and after hyperparameter *** improvements were observed across various models,with SVm and Neural Networks consistently showing enhanced performance metrics such as F1-Score,recall,and *** study underscores the critical role of tailored hyperparameter tuning in optimizing these models,revealing diverse outcomes among *** Trees and Random Forests exhibited stable performance throughout the *** enhancing accuracy,hyperparameter optimization also led to increased execution *** representations and comprehensive results support the findings,confirming the hypothesis that optimizing parameters can effectively enhance predictive capabilities in cardiovascular *** research contributes to advancing the understanding and application of machine learning in healthcare,particularly in improving predictive accuracy for cardiovascular disease management and intervention strategies.

关键词： Internet of sensing things(IoST) machine learning hyperparameter optimization cardiovascular disease prediction execution time analysis performance analysis wilcoxon signed-rank test

URL Phishing Detection Using Particle Swarm Optimization and Data mining

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Computers, materials & Continua 2022年第12期73卷 5625-5640页

作者： Saeed m.Alshahrani Nayyar Ahmed Khan Jameel Almalki waleed Al Shehri College of Computing and IT-Shaqra University Shaqra155572Saudi Arabia Department of Computer Science College of Computer in Al-LeithUmm Al-Qura UniversityMakkahSaudi Arabia

The continuous destruction and frauds prevailing due to phishing URLs make it an indispensable area for *** techniques are adopted in the detection process,including neural networks,machine learning,or hybrid techniques.A novel detection model is proposed that uses data mining with the Particle Swarm Optimization technique(PSO)to increase and empower the method of detecting phishing *** selection based on various techniques to identify the phishing candidates from the URL is *** this approach,the features mined from the URL are extracted using data mining *** features are selected on the basis of URL *** classification of these features identified by the data mining rules is done using PSO *** selection of features with PSO optimization makes it possible to identify phishing *** a large number of rule identifiers,the true positive rate for the identification of phishing URLs is maximized in this *** experiments show that feature selection using data mining and particle swarm optimization helps tremendously identify the phishing URLs based on the structure of the URL ***,it can minimize processing time for identifying the phishing website ***,the approach can be beneficial to identify suchURLs over the existing contemporary detecting models proposed before.

关键词： Phishing particle swarm optimization feature selection data mining classification cloud application

Visual and refractive outcomes of posterior chamber phakic IOL in stable keratoconus

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International Journal of Ophthalmology(English edition) 2019年第5期12卷 840-843页

作者： Sherif H Emerah moataz m Sabry Hisham A Saad waleed A Ghobashy Ophthalmology Department Research Institute of Ophthalmology magrabi Eye Hospital Ophthalmology Department Tanta University Ophthalmology Department Suez Canal University

We evaluated the visual and refractive outcomes after phakic visian toric implantable collamer lens(ICL) insertion in stable keratoconus(KC). This retrospective study investigated toric ICL implantation in 14 eyes of 8 patients with stable KC. After 6 mo, the mean uncorrected distance visual acuity improved significantly from 0.77 to 0.15 logmAR. The mean best corrected distance visual acuity(BCDVA) improved from 0.18±0.1 to 0.15±0.1 logmAR. Fifty percent of eyes maintained their preoperative BCDVA; 42.8% gained one line. There was no statistical difference in high order or coma aberration. The mean refractive manifest spherical equivalent(mSE), mean refractive manifest spherical error, mean manifest astigmatism decreased significantly postoperatively. At 6 mo postoperatively, our achieved mean spherical equivalent was approximately 74%. No intraoperative or postoperative complications occurred. Toric ICL implantation was effective, predictable and safe to correct refractive error and improve visual acuity in patients with stable KC.

关键词： coma keratoconus lens implantation intraocular

Optimal Fusion-Based Handcrafted with Deep Features for Brain Cancer Classification

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Computers, materials & Continua 2022年第10期73卷 801-815页

作者： mahmoud Ragab Sultanah m.Alshammari Amer H.Asseri waleed K.Almutiry Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Center for Artificial Intelligence in Precision medicines King Abdulaziz UniversityJeddah21589Saudi Arabia mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Biochemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of mathematics College of Science and Arts in Ar RassQassim UniversityBuryadah52571Saudi Arabia

Brain cancer detection and classification is done utilizing distinct medical imaging modalities like computed tomography(CT),or magnetic resonance imaging(mRI).An automated brain cancer classification using computer aided diagnosis(CAD)models can be designed to assist *** the recent advancement in computer vision(CV)and deep learning(DL)models,it is possible to automatically detect the tumor from images using a computer-aided *** study focuses on the design of automated Henry Gas Solubility Optimization with Fusion of Handcrafted and Deep Features(HGSO-FHDF)technique for brain cancer *** proposed HGSO-FHDF technique aims for detecting and classifying different stages of brain *** proposed HGSO-FHDF technique involves Gabor filtering(GF)technique for removing the noise and enhancing the quality of mRI *** addition,Tsallis entropy based image segmentation approach is applied to determine injured brain regions in the mRI ***,a fusion of handcrafted with deep features using Residual Network(ResNet)is utilized as feature ***,HGSO algorithm with kernel extreme learning machine(KELm)model was utilized for identifying the presence of brain *** examining the enhanced brain tumor classification performance,a comprehensive set of simulations take place on the BRATS 2015 dataset.

关键词： Brain cancer medical imaging deep learning fusion model metaheuristics feature extraction handcrafted features